Peter P. Ueng

854 total citations
26 papers, 681 citations indexed

About

Peter P. Ueng is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Peter P. Ueng has authored 26 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 11 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Peter P. Ueng's work include Plant Disease Resistance and Genetics (11 papers), Plant Pathogens and Fungal Diseases (11 papers) and Mycotoxins in Agriculture and Food (7 papers). Peter P. Ueng is often cited by papers focused on Plant Disease Resistance and Genetics (11 papers), Plant Pathogens and Fungal Diseases (11 papers) and Mycotoxins in Agriculture and Food (7 papers). Peter P. Ueng collaborates with scholars based in United States, Poland and Taiwan. Peter P. Ueng's co-authors include L. W. Timmer, Barry M. Cunfer, E. Arseniuk, Turksen Shilts, Kuang‐Ren Chung, Kuang-Ren Chung, Kuang‐Ren Chung, Lihua Cao, Margaret E. Daub and Mathias Choquer and has published in prestigious journals such as PLANT PHYSIOLOGY, Applied Microbiology and Biotechnology and Annual Review of Phytopathology.

In The Last Decade

Peter P. Ueng

26 papers receiving 646 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter P. Ueng United States 17 576 274 218 65 47 26 681
Carin Jansen Germany 6 725 1.3× 399 1.5× 215 1.0× 28 0.4× 29 0.6× 8 763
Isabel Grondona Spain 10 521 0.9× 305 1.1× 201 0.9× 94 1.4× 37 0.8× 19 633
José María Díaz-Mínguez Spain 12 563 1.0× 378 1.4× 270 1.2× 59 0.9× 31 0.7× 20 710
C. I. Aguilar‐Vildoso Brazil 9 471 0.8× 192 0.7× 120 0.6× 47 0.7× 19 0.4× 17 567
Ki‐Tae Kim South Korea 15 591 1.0× 298 1.1× 323 1.5× 103 1.6× 31 0.7× 39 791
Wilfried Jonkers United States 14 526 0.9× 336 1.2× 329 1.5× 124 1.9× 21 0.4× 17 711
Mansoor Karimi Jashni Iran 11 543 0.9× 248 0.9× 226 1.0× 53 0.8× 55 1.2× 22 671
Marie Dufresne France 18 811 1.4× 465 1.7× 304 1.4× 75 1.2× 15 0.3× 26 892
Hege H. Divon Norway 13 478 0.8× 270 1.0× 165 0.8× 89 1.4× 17 0.4× 15 580
Alfredo D. Martínez‐Espinoza United States 15 401 0.7× 178 0.6× 257 1.2× 59 0.9× 11 0.2× 47 536

Countries citing papers authored by Peter P. Ueng

Since Specialization
Citations

This map shows the geographic impact of Peter P. Ueng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter P. Ueng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter P. Ueng more than expected).

Fields of papers citing papers by Peter P. Ueng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter P. Ueng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter P. Ueng. The network helps show where Peter P. Ueng may publish in the future.

Co-authorship network of co-authors of Peter P. Ueng

This figure shows the co-authorship network connecting the top 25 collaborators of Peter P. Ueng. A scholar is included among the top collaborators of Peter P. Ueng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter P. Ueng. Peter P. Ueng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Lin, Ying-Hong, et al.. (2010). Alternative splicing and genetic diversity of the white collar-1 (wc-1) gene in cereal Phaeosphaeria pathogens. European Journal of Plant Pathology. 127(3). 351–363. 2 indexed citations
3.
Wang, Chih‐Li, et al.. (2009). Group I introns in small subunit ribosomal DNA (SSU-rDNA) of cereal Phaeosphaeria species. Botanical studies. 50(2). 137–147. 1 indexed citations
4.
Song, Qijian, et al.. (2009). Genetic linkage map of Phaeosphaeria nodorum, the causal agent of stagonospora nodorum blotch disease of wheat. European Journal of Plant Pathology. 124(4). 681–690. 7 indexed citations
5.
Baker, C. Jacyn, Bruce D. Whitaker, Norton M. Mock, et al.. (2008). Differential induction of redox sensitive extracellular phenolic amides in potato. Physiological and Molecular Plant Pathology. 73(4-5). 109–115. 18 indexed citations
6.
Chung, Kuang‐Ren, et al.. (2006). The tri-functional histidine biosynthesis gene (his) in wheat stagonospora nodorum blotch pathogen, Phaeosphaeria nodorum.. Zhíwù bìnglǐxué huìkān. 15(1). 55–61. 1 indexed citations
7.
Liao, Hui-Ling, et al.. (2006). The Cercospora nicotianae gene encoding dual O-methyltransferase and FAD-dependent monooxygenase domains mediates cercosporin toxin biosynthesis. Fungal Genetics and Biology. 44(5). 444–454. 36 indexed citations
8.
Chang, Pi‐Fang Linda, Kuang-Ren Chung, Jonathan Shao, et al.. (2006). RNA polymerase II gene (RPB2) encoding the second largest protein subunit in Phaeosphaeria nodorum and P. avenaria. Mycological Research. 110(10). 1152–1164. 21 indexed citations
9.
Choquer, Mathias, Huiqin Chen, Lihua Cao, et al.. (2005). The CTB1 Gene Encoding a Fungal Polyketide Synthase Is Required for Cercosporin Biosynthesis and Fungal Virulence of Cercospora nicotianae. Molecular Plant-Microbe Interactions. 18(5). 468–476. 101 indexed citations
10.
Chang, Chung‐Jan, et al.. (2005). Sequence diversity of β-tubulin (tubA) gene inPhaeosphaeria nodorumandP. avenaria. FEMS Microbiology Letters. 249(1). 49–56. 11 indexed citations
11.
Yuan, Rongcai, et al.. (2004). Induction of Phytohormones and Differential Gene Expression in Citrus Flowers Infected by the Fungus Colletotrichum acutatum. Molecular Plant-Microbe Interactions. 17(12). 1394–1401. 67 indexed citations
12.
Arseniuk, E., Paweł Czembor, Qijian Song, et al.. (2004). QTL controlling partial resistance to Stagonospora nodorum leaf blotch in winter wheat cultivar Alba. Euphytica. 137(2). 225–231. 27 indexed citations
13.
Czembor, Paweł, et al.. (2003). QTL mapping of partial resistance in winter wheat toStagonospora nodorumblotch. Genome. 46(4). 546–554. 46 indexed citations
14.
Chung, Kuang‐Ren, et al.. (2003). Indole derivatives produced by the fungusColletotrichum acutatumcausing lime anthracnose and postbloom fruit drop of citrus. FEMS Microbiology Letters. 226(1). 23–30. 90 indexed citations
15.
Ueng, Peter P., Qun Dai, Kairong Cui, et al.. (2003). Sequence diversity of mating-type genes in Phaeosphaeria avenaria. Current Genetics. 43(2). 121–130. 17 indexed citations
16.
Shah, D. A., Gary C. Bergstrom, & Peter P. Ueng. (2001). Foci of Stagonospora Nodorum Blotch in Winter Wheat Before Canopy Development. Phytopathology. 91(7). 642–647. 25 indexed citations
17.
Cunfer, Barry M. & Peter P. Ueng. (1999). TAXONOMY ANDIDENTIFICATION OFSEPTORIAANDSTAGONOSPORASPECIES ONSMALL-GRAINCEREALS. Annual Review of Phytopathology. 37(1). 267–284. 37 indexed citations
18.
Subramaniam, Kuppuswamy, Shahal Abbo, & Peter P. Ueng. (1996). Isolation of two differentially expressed wheat ACC synthase cDNAs and the characterization of one of their genes with root-predominant expression. Plant Molecular Biology. 31(5). 1009–1020. 24 indexed citations
19.
Chan, Err–Cheng, et al.. (1989). Environmental effects on D-xylose fermentation bySchizosaccharomyces pombe. Applied Biochemistry and Biotechnology. 20-21(1). 221–232. 4 indexed citations
20.
Ueng, Peter P., et al.. (1988). Expression of a Maize Storage Protein Gene in Petunia Plants Is Not Restricted to Seeds. PLANT PHYSIOLOGY. 86(4). 1281–1285. 42 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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